Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 2,371 to 2,380 of 202,214 articles

Medication-Wide Association Study of Alzheimer's Disease and Related Dementias: Identifying Drug Candidates from Electronic Health Records through Explainable AI

medRxiv
Objective: Alzheimer's disease (AD) is a leading cause of death and disability, and treatment options for Alzheimer's disease and related dementias (ADRD) remain limited. We applied a data-driven, mechanism-agnostic Medication-Wide Association Study ... read more 

Synthesis of Amyloid Images Using a Generative Adversarial Network from 2-Dimensional 18F-FDG Images and Evaluation for Clinical Use.

Journal of nuclear medicine technology
The use of amyloid PET to assess patient suitability of disease-modifying drugs for Alzheimer disease is increasing. This study aimed to synthesize amyloid PET images from 18F-FDG PET images using a generative artificial intelligence algorithm to red... read more 

Deep learning insights into β-lactamase dynamics and resistance evolution.

The Biochemical journal
The rapid global expansion of β-lactamase-mediated antimicrobial resistance demands mechanistic approaches capable of resolving the dynamics of enzyme adaptation. Although β-lactamase evolution often involves subtle rearrangements rather than large s... read more 

AI and computer vision for wildlife identification in camera trap images: Fine-tuning SpeciesNet outperforms local models for species classification.

The Science of the total environment
Wildlife camera traps generate millions of images that exceed the capacity of manual processing. Computer vision (CV), a branch of artificial intelligence (AI) and machine learning (ML), helps ecologists process images efficiently. The CV workflow ge... read more 

Diagnostic system for tebuthiuron soil ecotoxicity using morphophysiological indicators of Mucuna pruriens validated by Lactuca sativa.

Plant physiology and biochemistry : PPB
This study developed an integrated diagnostic system for tebuthiuron-induced soil ecotoxicity based on morphophysiological indicators of Mucuna pruriens, using the germination index (GI) of Lactuca sativa as a sensitive ecotoxicological validation en... read more 

Single-cell-based analysis establishes C1QA-mediated promotion of high glucose-induced tubular epithelial injury via ERS in DN.

Gene
BACKGROUND: Diabetic nephropathy (DN) poses a growing worldwide health challenge as a leading cause of end-stage renal disease, a condition that arises from a complex, poorly defined pathophysiology. Endoplasmic reticulum stress (ERS) is recognized a... read more 

Large Language Model Authorship in Ophthalmic Publications.

Ophthalmology
PURPOSE: To assess for the likely presence of artificial intelligence (AI)-generated text in the published ophthalmology literature. METHODS: Abstract text from 27,142 research articles published in 22 journals between May 2020 and May 2025 were eval... read more 

Integrative Network Toxicology and Machine Learning Identify AKR1C3 as a Candidate Functional Target of Cypermethrin in Colorectal Cancer.

Chemico-biological interactions
The potential contribution of foodborne pesticide residues to colorectal cancer (CRC) remains insufficiently understood. In this study, we integrated computational toxicology, network analysis, machine learning, molecular docking, and in vitro valida... read more 

Week-ahead prediction of depressive episodes using wearable-derived circadian biomarkers: A multicenter deep learning study with risk-based operating thresholds.

Journal of affective disorders
Early detection of depressive episodes is important because shorter duration of untreated illness is associated with better outcomes, yet routine care remains largely reactive and dependent on retrospective self-report. Wearables enable passive, cont... read more 

Life-cycle and techno-economic analyses of agro-waste-derived biodegradable plastics enhanced via AI-based parametric optimization.

Environmental research
Growing concerns over climate change and the environmental impact of the overuse of petrochemical-based plastics have prompted the adoption of eco-friendly alternatives. Here, a starch-based biodegradable plastic sheet was synthesized from underexplo... read more